Crowd Research at School: Crossing Flows

Johanna Bamberger, Anna-Lena Geßler, Peter Heitzelmann, Sara Korn, Rene Kahlmeyer, Xue Hao Lu, Qi Hao Sang, Zhi Jie Wang, Guan Zong Yuan, Michael Gauß and Tobias Kretz ()
Additional contact information
Johanna Bamberger: Bismarckgymnasium
Anna-Lena Geßler: Bismarckgymnasium
Peter Heitzelmann: Bismarckgymnasium
Sara Korn: Bismarckgymnasium
Rene Kahlmeyer: Bismarckgymnasium
Xue Hao Lu: Jing Ye High School
Qi Hao Sang: Jing Ye High School
Zhi Jie Wang: Jing Ye High School
Guan Zong Yuan: Jing Ye High School
Michael Gauß: Fernstudienzentrum – Karlsruhe Institute of Technology (KIT)
Tobias Kretz: PTV Group

A chapter in Traffic and Granular Flow '13, 2015, pp 137-144 from Springer

Abstract: Abstract It has become widely known that when two flows of pedestrians cross stripes emerge spontaneously by which the pedestrians of the two walking directions manage to pass each other in an orderly manner. In this work, we report about the results of an experiment on crossing flows which has been carried out at a German school. These results include that previously reported high flow volumes on the crossing area can be confirmed. The empirical results are furthermore compared to the results of a simulation model which successfully could be calibrated to catch the specific properties of the population of participants.

Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10629-8_16

Ordering information: This item can be ordered from
http://www.springer.com/9783319106298

DOI: 10.1007/978-3-319-10629-8_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().